Director, Marketing AI & Automation

Accountabilities • Own and evolve the Marketing AI roadmap, prioritizing use cases according to business impact, reclaimed capacity, strategic value, and available resources.

• Manage the full journey from idea through pilot, production, and operational ownership, including stage-gate processes and effective handoffs to teams responsible for ongoing outcomes.

• Establish and oversee an agent and orchestration platform, including reusable components, data integrations, vendor integrations, and supporting infrastructure.

• Lead AI governance for marketing by establishing agent audits, brand-risk assessments, exclusion zones, and review processes in collaboration with legal and brand stakeholders.

• Drive adoption through structured enablement programs and a network of embedded AI liaisons, ensuring AI capabilities become part of everyday marketing workflows.

• Build and lead a new multidisciplinary team, recruiting strategic and technical talent, integrating internal talent, and establishing clear performance expectations.

• Measure and communicate the value of AI initiatives, including capacity gained, speed to market, business impact, lessons learned, and initiatives that do not deliver expected results.

• Continuously identify and shape future AI opportunities, develop investment cases, evaluate existing initiatives, and determine when use cases should be expanded, changed, or retired.

• Partner with marketing, engineering, legal, brand, data, and other stakeholders to ensure AI initiatives align with organizational priorities and operational requirements.

Requirements

• 10+ years of experience across marketing technology, growth engineering, applied AI, technical product, or related fields, including at least 4 years of team leadership experience.

• Demonstrated experience taking AI use cases from proof of concept through scaled production, with the ability to explain implementation challenges, outcomes, and measurable business impact.

• Strong understanding of marketing functions and workflows, with the ability to engage credibly with channel leaders about practical applications and limitations of AI.

• Strong technical fluency in agent orchestration, data integration, AI evaluation, and modern marketing technology architectures, without requiring hands-on model development.

• Familiarity with modern composable technology stacks, including customer data platforms, reverse ETL, cloud data platforms, and enterprise LLM tooling, is highly valued.

• Experience building or leading a center of excellence, platform team, or center-led function that successfully transfers capabilities to other teams.

• Proven judgment in managing brand, legal, privacy, and other risks associated with AI systems, including experience establishing appropriate review and governance mechanisms.

• Strong ability to influence outcomes across teams and roadmaps without relying solely on direct authority.

• Experience evaluating, selecting, and managing AI and marketing technology vendors, with sound judgment around build-versus-buy decisions.

• Bachelor's degree required; an advanced degree in a technical or business discipline such as an MBA, Computer Science, Engineering, or Analytics is a plus.

• Strong strategic thinking, communication, change-management, and organizational leadership skills, with the ability to operate effectively in a distributed environment.

Benefits

• Remote work across the United States, with employees able to work from a location of their choice subject to applicable location requirements.

• Base salary of $231,000–$369,000 annually in California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington State, and Washington, DC.

• Base salary of $219,500–$350,600 annually in Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia.

• Eligibility for equity awards, with actual amounts varying based on experience, performance, and location.

• Compensation structured to meet applicable state salary thresholds for exempt employees.

• Distributed-work model designed around flexibility, trust, collaboration, and productivity.

• Inclusive and innovative work environment with opportunities to contribute to large-scale technology and marketing transformation.

• Equal employment opportunity and reasonable workplace accommodations for qualified applicants.

• Additional benefits and programs may vary based on work location and applicable employment terms.

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